Abstract #2390
CMR Acceleration using iterative k-t-sparse SENSE reconstruction
Bradley D Allen 1 , Maria Carr 1 , Michael O Zenge 2 , Michaela Schmidt 2 , Mariappan S Nadar 3 , Bruce Spottiswoode 4 , Jeremy D Collins 1 , and James C Carr 1
1
Department of Radiology, Northwestern
University, Chicago, IL, United States,
2
Siemens
AG, Healthcare Sector, Erlangen, Bavaria, Germany,
3
Siemens
Corporate Technology, Princeton, NJ, United States,
4
Siemens
Healthcare USA, Inc., Chicago, IL, United States
Clinical CMR is an important diagnostic tool but can be
limited by the requirement for patient-breath holding to
achieve high quality images. Accelerated CMR
acquisitions can help to overcome this challenge.
Iterative k-t-sparse SENSE reconstruction with L1
regularization along one spatial and temporal dimension
is an investigational acceleration technique that has
the potential to dramatically reduce scan time. In this
study, we applied this technique in patients undergoing
CMR. While there was some regional variability in image
quality, scan times were reduced by >50% per slice.
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